Amazon EMR

378
354
+ 1
53
Hadoop

1.7K
1.6K
+ 1
54
Add tool

Amazon EMR vs Hadoop: What are the differences?

Developers describe Amazon EMR as "Distribute your data and processing across a Amazon EC2 instances using Hadoop". Amazon EMR is used in a variety of applications, including log analysis, web indexing, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics. Customers launch millions of Amazon EMR clusters every year. On the other hand, Hadoop is detailed as "Open-source software for reliable, scalable, distributed computing". The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Amazon EMR can be classified as a tool in the "Big Data as a Service" category, while Hadoop is grouped under "Databases".

"On demand processing power" is the top reason why over 13 developers like Amazon EMR, while over 34 developers mention "Great ecosystem" as the leading cause for choosing Hadoop.

Hadoop is an open source tool with 9.27K GitHub stars and 5.78K GitHub forks. Here's a link to Hadoop's open source repository on GitHub.

According to the StackShare community, Hadoop has a broader approval, being mentioned in 237 company stacks & 127 developers stacks; compared to Amazon EMR, which is listed in 95 company stacks and 18 developer stacks.

Pros of Amazon EMR
Pros of Hadoop

Sign up to add or upvote prosMake informed product decisions

Sign up to add or upvote consMake informed product decisions

- No public GitHub repository available -

What is Amazon EMR?

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

What is Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
What companies use Amazon EMR?
What companies use Hadoop?

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Amazon EMR?
What tools integrate with Hadoop?

Sign up to get full access to all the tool integrationsMake informed product decisions

What are some alternatives to Amazon EMR and Hadoop?
Amazon EC2
It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
Amazon DynamoDB
With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
Amazon Redshift
It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Azure HDInsight
It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.
Databricks
Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
See all alternatives
Interest over time
How much does Amazon EMR cost?
How much does Hadoop cost?
Pricing unavailable